基于模糊逻辑的开关磁阻电机转矩纹波最小化电流调制

R. Gobbi, N. Sahoo, M. A. Ahamed Khan
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引用次数: 2

摘要

本文研究了开关磁阻电机(SRM)驱动中的一个基本控制问题——转矩脉动。通常,转矩脉动最小化是通过使用查找表来实现的,即查找表使用存储的磁特性来提供参考电流。已经提出了一些产生参考电流曲线的技术,这些技术可以使转矩波动最小化。但由于SRM的高度非线性特性,这些方案都不是完全成功的。我们的工作涉及一种新的算法,通过使用增益来最小化转矩纹波,通过迭代调制参考电流模式来产生电流波形。该增益是借助模糊逻辑计算的,它很适合补偿系统的非线性。采用简单的两相电流方案进行研究。通过仿真验证了所提策略的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fuzzy logic based current modulation for torque ripple minimization in switched reluctance motors
This paper deals with a fundamental control issue in switched reluctance motor (SRM) drives - the torque ripples. Normally, torque ripple minimization is achieved by using a look-up table, i.e., the look-up table uses stored magnetic characteristics to provide the reference current. A number of techniques for the generation of reference current profiles that minimize the torque ripples have been suggested. But because of highly nonlinear characteristics of the SRM, all these schemes are not fully successful. Our work deals with a novel algorithm for generation of current waveforms by iterative modulation of the reference current pattern by using a gain for minimizing the torque ripple. This gain is computed with the aid of fuzzy logic, which is well suited to compensate for the nonlinearities of the system. Simple two-phase-on current scheme is used for the study. Performance of the proposed strategy is verified by simulation.
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